FactSet is on a mission to enhance client workflows and productivity with AI-driven solutions by empowering developers to innovate efficiently using advanced technology. However, the lack of a standardized LLM development platform, a common LLMOps framework, and issues with data governance and lineage were challenges. Learn how Databricks helped FactSet evolve from an early approach focused on commercial models to an end-to-end AI framework that balances cost and flexibility. https://dbricks.co/3VCsEKB
About us
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. --- Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
- Website
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https://databricks.com
External link for Databricks
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Specialties
- Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, and Artificial Intelligence
Products
The Databricks Data Intelligence Platform
Data Science & Machine Learning Platforms
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data.
Locations
Employees at Databricks
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Ryan Donahue
VP Product Design at Databricks
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Alfred Chu
VC
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Ashu Garg
Enterprise VC-engineer-company builder. Early investor in @databricks, @tubi and 6 other unicorns - @cohesity, @eightfold, @turing, @anyscale…
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Michael J. Franklin
Professor of Computer Science, University of Chicago
Updates
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Today at #DataAISummit, we announced cutting-edge advancements to further enhance Unity Catalog capabilities across open accessibility, open connectivity, and unified governance. See what's new in Unity Catalog: https://dbricks.co/4bYPJwG
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We are excited to announce how we are accelerating our ecosystem growth and share new Delta Sharing feature releases, including the availability of Databricks Clean Rooms in Public Preview on AWS and Azure. https://dbricks.co/3z183Xx
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Introducing Databricks LakeFlow, a new solution that makes building production-grade data pipelines easy and efficient. LakeFlow simplifies all aspects of data engineering, from data ingestion to transformation and orchestration, so data teams can scale to the ever-growing demand for reliable data and AI. All through a simple, unified and intelligent experience. https://dbricks.co/3VAB5Ge
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We are excited to announce that we are open sourcing Unity Catalog—the industry’s first open source catalog for data and AI governance across clouds, data formats, and data platforms. https://dbricks.co/3VpW51n Available on GitHub today as the first step to bring the Unity vision into open source.
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Matei Zaharia just open sourced Unity Catalog LIVE at #DataAISummit!
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“This is a big investment in the open source community.” says Tabular (now part of Databricks) co-founder Ryan Blue. Ryan Blue joined Databricks Co-founder and CEO, Ali Ghodsi onstage at #DataAISummit to talk about the future of data format interoperability and standards.
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Jensen Huang, Founder and CEO of NVIDIA joined Databricks Co-founder and CEO Ali Ghodsi for a fireside chat on innovation in the age of AI. "Whatever you do, just start," said Huang. "This is a fast-moving train. You don’t want to wait and observe an exponential trend."
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Announcing Databricks AI/BI, a new type of BI product that deeply understands your data’s semantics and democratizes analytics. Built on a compound AI system that powers: - AI/BI Dashboards: AI-powered, low-code solution with all BI capabilities you'd expert out-of-the-box, for answering a fixed set of business questions. - Genie: a conversational interface that can learn your underlying data continuously based on human feedback, and flexibly answer questions. Learn more about AI/BI's design and what this means for self-service BI. https://dbricks.co/3VnMeJc
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Today at #DataAISummit, we announced Shutterstock ImageAI, Powered by Databricks — a text-to-image Generative AI model optimized for enterprise use. Built using the advanced capabilities of Databricks Mosaic AI and trained exclusively on Shutterstock's proprietary image repository, ImageAI generates customized, high-fidelity images that are commercially viable and tailored to specific business needs. https://dbricks.co/3VCyP1m